Master AWS Lambda: Go Serverless with AWS [2020] from Udemy

What's inside

Learning objectives

Learn aws lambda and azure functions
Build serverless apps in aws and azure
Master serverless in aws and azure from zero

Automate serverless - aws sam and serverless framework
Build rest api and deploy full stack app in aws and azure
Implement advanced features for your rest api

Learn aws lambda and azure functions
Build serverless apps in aws and azure
Master serverless in aws and azure from zero
Automate serverless - aws sam and serverless framework
Build rest api and deploy full stack app in aws and azure
Implement advanced features for your rest api

Syllabus

Introduction

Course Overview - Go Serverless with AWS Lambda and Azure Functions

Github Repo - Go Serverless with AWS Lambda and Azure Functions

Getting Started with Cloud and AWS

Step 01 - Introduction to Cloud and AWS

Step 02 - Creating an AWS Root Account

Step 03 - Creating an IAM User For Your AWS Account

Getting Started with Serverless and AWS Lambda

Step 01 - What is Serverless?

Step 02 - Getting started with AWS Lambda

Step 03 - Creating Your First Serverless Function with AWS Lambda

Step 04 - Understanding Your First Serverless Function - AWS Lambda Event and Re

Step 05 - Playing with Your First Serverless Function - AWS Lambda Context

Step 06 - Playing with Your First Serverless Function - AWS Lambda Basic Setting

Step 07 - Monitoring your AWS Lambda Serverless Functions - CloudWatch and XRay

Step 08 - Versioning your AWS Lambda Serverless Functions - Versions and Alias

Step 09 - Understanding AWS Lambda Function Concurrency and Execution Context

Playing with AWS API Gateway and Lambda Functions - REST API and HTTP API

Step 01 - Getting started with AWS API Gateway

CODE BACKUP FILE : For Reference

Step 02 - Getting started with AWS API Gateway - API Types - HTTP, REST and WebS

Step 03 - Creating Your First AWS API Gateway - REST API

Step 04 - Understanding the Basics of Handling Request with AWS REST API Gateway

Step 05 - Playing with AWS REST API Gateway - Customizing Mock Response and Head

Step 06 - Integrating AWS REST API Gateway with Lambda Integration

Step 07 - Playing with API Gateway - Using Mapping Template to map Request Heade

Step 08 - Playing with API Gateway - Creating POST Method

Step 09 - Playing with API Gateway - Validation Request Body using Model Schema

Step 10 - Playing with API Gateway - Customizing Response Headers and Validation

Step 11 - Deploying API Gateways - Creating a new Stage

Step 12 - Understanding AWS REST API Gateway Integrations - Custom vs Proxy Inte

Step 13 - Exploring REST API Gateway Lambda Proxy Integration

Step 14 - Implementing Rate Limiting and API Keys using AWS API Gateway

Step 15 - Exploring AWS API Gateway Stages

Step 16 - Getting Started with AWS API Gateway - HTTP API

Step 17 - Creating HTTP API - AWS API Gateway

Step 18 - Exploring HTTP API - AWS API Gateway

Step 19 - Exploring HTTP API - AWS API Gateway Further

Do you want to help us?

Monitor Billing on AWS - Best Practices

Step 01 - Its Your Responsibility to Monitor Billing on the Cloud - 5 Recommenda

Step 02 - Monitor AWS Billing Setting Billing Alerts

Building REST API with AWS Lambda Functions and API Gateway REST API

Step 01 - Getting started with building REST API for Todo Management Full Stack

Step 02 - Getting Started with Amazon DynamoDB

Step 03 - Understanding Amazon DynamoDB Tables

Example Todo to Insert into DynamoDB in Next Step

Step 04 - Creating Todo Table in Amazon DynamoDB

Step 05 - Creating AWS Lambda Function and API Gateway for Get Todo API

Step 06 - Connecting getTodo Lambda Function with DynamoDB

Step 07 - Finalizing get todo REST API - Permissions and Testing

Step 08 - Understanding AWS Lambda Function Handlers - async vs non async

Step 09 - Creating List Todos Lambda Function

Step 10 - Connecting List Todos Lambda Function with API Gateway

Links for Next Lecture

Step 11 - Getting Started with Full Stack Application - Angular Frontend

Step 12 - Integrating Angular Frontend with Serverless REST API - CORS

Step 13 - Implementing Update Todo API with Lamdba and API Gateway

Step 13 - ZZ - COURSE UPDATE - Use new role for every lambda function

Step 14 - Creating AWS Lambda Function for Create Todo

Step 15 - Integrating Create Todo Lambda with API Gateway and Frontend

Step 16 - Implementing Delete Todo API with Lamdba and API Gateway

Step 17 - Getting Started with Amazon Cognito for Authentication and Authorizati

Step 18 - Understanding Cognito User Pools and Identity Pools

Step 19 - Creating Amazon Cognito User Pool for Todo Application

Step 20 - Playing with Amazon Cognito - Configuring App Client and User Flow

Step 21 - Playing with Amazon Cognito - Creating Pre Signup Trigger for Confirmi

Step 22 - Creating Authorizer in API Gateway and enabling Authentication for RES

Step 23 - Integrating Angular Frontend with Amazon Cognito User Pool

Step 24 - Exploring integration of Angular Frontend with Cognito User Pool

Creating Todo REST API with AWS Lambda Functions and HTTP API - API Gateway

Step 01 - Creating HTTP API - API Gateway - Using Import

Step 02 - Configuring HTTP API - API Gateway - CORS and Lambda Integrations

Step 03 - Creating JWT Authorizer and Enabling Authentication for REST API

Building AWS Serverless Applications with AWS SAM - Serverless Application Model

Step 01 - Getting Started with AWS SAM - Serverless Application Model

Step 02 - Getting Started with AWS SAM - Installing Required Tools

Step 03 - Creating and Deploying a Serverless Application with AWS SAM

Step 04 - Exploring AWS SAM Template

Step 05 - Exploring AWS resources created by SAM - Lambda, API Gateway and Cloud

Step 06 - Configuring HTTP API Gateway and Exploring Change Sets

Step 07 - Creating List Todo Function using SAM - Automating DynamoDB permission

Step 08 - Configuring SAM Globals - AWS Lambda Environment Variables

Step 09 - Configuring JWT Authorizer for HTTP API Gateway in AWS SAM

Step 10 - Creating Get Todo REST API using AWS SAM

Step 11 - Creating Update Todo REST API using AWS SAM

Step 12 - Creating Delete Todo and Create Todo REST API using AWS SAM

Step 13 - Creating DynamoDB Table using AWS SAM

Step 14 - Learning more about Serverless Application Model - References

Building AWS Serverless Applications & Lambda Function with Serverless Framework

Step 01 - Getting Started with Serverless Framework

Step 02 - Getting Ready for Serverless Framework - Installation and Configuratio

Step 03 - Creating an AWS Serverless Project using Serverless Framework

Step 04 - Connecting AWS Lambda Function with API Gateway - Serverless Framework

Step 05 - Configuring HTTP API - API Gateway with Serverless Framework

Step 06 - Creating List Todos REST API with Serverless Framework

Step 07 - Creating DynamoDB Table using Serverless Framework

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Provides hands-on experience with AWS Lambda and Azure Functions, which are essential for modern cloud-based application development

Covers automation using AWS SAM and Serverless Framework, which streamlines the deployment and management of serverless applications

Explores Amazon Cognito and Azure AD B2C for authentication, which are important for securing serverless applications

Uses Visual Studio Code as the IDE, which is a popular and versatile tool for developers

Teaches deployment of a full-stack todo management application, which offers practical experience in building complete serverless solutions

Focuses on AWS and Azure, but the course was created in 2020, so learners should check for updates to the services covered

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Master AWS Lambda: Go Serverless with AWS [2020] with these activities:

Review AWS Fundamentals

Show steps

Solidify your understanding of core AWS concepts like IAM, EC2, and S3 to provide a strong foundation for serverless technologies.

Show steps

Read AWS documentation on core services.
Complete a basic AWS tutorial.
Review AWS pricing models.

Review 'Serverless Architectures on AWS'

Show steps

Gain a deeper understanding of serverless architecture best practices and design patterns on AWS.

View Serverless Architectures on AWS, Second Edition on Amazon

Show steps

Read the book cover to cover.
Take notes on key concepts and examples.
Relate the concepts to the course content.

Build a Simple CRUD API with Lambda and DynamoDB

Show steps

Practice building a practical application using Lambda, API Gateway, and DynamoDB to solidify your understanding of the core serverless components.

Show steps

Design the API endpoints and data model.
Implement Lambda functions for each CRUD operation.
Configure API Gateway to route requests to Lambda functions.
Test the API thoroughly.

Four other activities

Expand to see all activities and additional details

Show all seven activities

Practice IAM Policy Creation for Lambda Functions

Show steps

Master the creation of IAM policies to grant Lambda functions the necessary permissions to access other AWS resources.

Browse courses on IAM Policies

Show steps

Review IAM policy syntax and structure.
Create policies for common Lambda use cases.
Test the policies to ensure they grant the correct permissions.

Write a Blog Post on AWS Lambda Best Practices

Show steps

Reinforce your learning by summarizing and explaining AWS Lambda best practices in a clear and concise manner.

Show steps

Research AWS Lambda best practices.
Outline the blog post structure.
Write the blog post with clear examples.
Edit and publish the blog post.

Review 'Programming AWS Lambda'

Show steps

Explore different programming languages and techniques for developing AWS Lambda functions.

View Putting Knowledge to Work on Amazon

Show steps

Read the book and try out the examples.
Experiment with different programming languages.
Compare and contrast the different approaches.

Contribute to a Serverless Open Source Project

Show steps

Deepen your understanding of serverless technologies by contributing to a real-world open source project.

Show steps

Find a serverless open source project on GitHub.
Identify an issue to work on.
Submit a pull request with your changes.
Respond to feedback and iterate on your changes.

Career center

Learners who complete Master AWS Lambda: Go Serverless with AWS [2020] will develop knowledge and skills that may be useful to these careers:

API Developer

An API developer designs, builds, and manages application programming interfaces or APIs. This role requires expertise in creating and managing RESTful APIs. This course is an ideal choice, as it focuses heavily on building REST APIs using AWS API Gateway and Lambda Functions. The course also covers crucial aspects such as validation, rate limiting, and deployment stages. The course's hands-on approach to API creation and management, including authentication using Cognito, makes it particularly well-suited for those who are interested in working as an API developer. This course teaches exactly the skills that this role requires.

See salaries and explore the career path for API Developer

Full-Stack Developer

A full stack developer works on both the frontend and backend of an application. This requires a broad range of skills, including knowledge of serverless technologies and API development. This course provides an ideal foundation for this role, as it covers AWS Lambda, Azure Functions, API Gateway, and the deployment of full-stack applications, including a frontend. It also provides instruction on backend design, databases including DynamoDB, and authentication with Cognito as well. This course helps a full stack developer gain the necessary skills to handle both server-side and client-side development.

See salaries and explore the career path for Full-Stack Developer

Cloud Engineer

A cloud engineer is responsible for implementing and managing cloud computing systems. This role involves designing, building, and maintaining infrastructure on platforms like AWS and Azure. This course, which covers AWS Lambda, Azure Functions, API Gateway, and deployment automation using Serverless Framework, provides an ideal foundation for aspiring cloud engineers. The course's focus on serverless architecture, database integration with DynamoDB, and authentication with Cognito makes it highly relevant to their typical responsibilities. The hands-on experience with building full-stack applications will be very useful to a cloud engineer.

See salaries and explore the career path for Cloud Engineer

Backend Developer

A backend developer focuses on the server-side logic and database interactions that power applications. This career often includes building and managing REST APIs. This course is an ideal fit for this role, as it provides training with AWS Lambda, Azure Functions, and API Gateway, which are crucial for building efficient backend systems. The course's detailed approach to building APIs and integrating databases with DynamoDB makes it particularly well-suited for those who want to work in backend development. Learning about authentication using Cognito also helps. This course provides a clear path to understanding the intricacies of backend development.

See salaries and explore the career path for Backend Developer

DevOps Engineer

A DevOps engineer is responsible for automating and optimizing the software development lifecycle, including deployment and infrastructure management. This career role often involves using tools to deploy cloud-based applications. This course provides a strong launching point by covering AWS Lambda, Azure Functions, and the Serverless Framework. The course's focus on automating the building of Serverless applications helps to build a foundation in managing the lifecycle of cloud-based systems. Learning to manage infrastructure and deployment using the Serverless Framework is particularly beneficial for a DevOps engineer.

See salaries and explore the career path for DevOps Engineer

Software Engineer

A software engineer is responsible for the design, development, and maintenance of software systems. This role often involves working with cloud technologies and serverless architectures. This course provides a very helpful introduction to serverless architecture, including AWS Lambda, Azure Functions and API Gateway. The course helps a software engineer build a foundation for working with cloud-based and serverless systems and for building full stack applications. The course's hands-on approach, using technologies such as DynamoDB and Cognito, makes it well suited to software engineers.

See salaries and explore the career path for Software Engineer

Solutions Architect

A solutions architect designs and manages the architecture of IT solutions. This includes selecting and implementing appropriate technologies for a variety of business needs. This course may be useful, as it provides foundational knowledge of cloud platforms, particularly AWS and Azure. The course's focus on serverless architectures, API management, database integration with DynamoDB, and user authentication with Cognito, introduces the technologies used to build more complex cloud solutions. A solutions architect will be able to select from a more informed position. An understanding of cloud platforms may help a solutions architect design optimal solutions.

See salaries and explore the career path for Solutions Architect

Cloud Consultant

A cloud consultant assesses a client’s needs and recommends cloud-based solutions. They will need deep knowledge of cloud platforms, particularly serverless technologies. This course may be helpful, as it provides a good foundation in serverless architectures, including AWS Lambda, Azure Functions, and API Gateway. The course's focus on building and deploying full-stack applications on AWS and Azure introduces the practical skills needed to advise clients. The course also explores databases with DynamoDB and authentication using Cognito, all of which help a cloud consultant assess client needs.

See salaries and explore the career path for Cloud Consultant

Systems Architect

A systems architect designs the overall structure of IT systems, including hardware, software, and networks. This role requires deep understanding of the various elements of a system, including cloud technologies. This course may be helpful, as it introduces serverless technologies, such as AWS Lambda, Azure Functions, and API Gateway. Exposure to the course’s building of full stack applications using DynamoDB and using authentication with Cognito, may help a systems architect better design solutions. An understanding of automation frameworks may also be of value to this job.

See salaries and explore the career path for Systems Architect

IT Manager

An IT manager oversees the technology infrastructure and operations of an organization and needs to make informed decisions about technologies. This course may be helpful as a guide to selecting cloud technologies. The course’s review of AWS Lambda, Azure Functions, and API Gateway, introduces serverless options. It also provides insight into building full stack applications with DynamoDB and Cognito. Gaining basic exposure to these technologies, especially those that involve automation with the Serverless Framework, may help an IT manager make better decisions about potential cloud infrastructure and tooling.

See salaries and explore the career path for IT Manager

Web Developer

A web developer is responsible for the design and development of websites, which frequently integrate with backend resources. This career involves working with web technologies, which are complemented by the skills taught in this course. This course may be useful, as it covers API development with AWS API Gateway and Lambda Functions. The course's approach to building full stack applications, including using DynamoDB for backend data, may expose a Web Developer to new tools. A web developer might benefit from knowing more about deployment using the Serverless Framework. This course explores some backend topics that are vital for a web developer.

See salaries and explore the career path for Web Developer

Database Administrator

A database administrator is responsible for the configuration, maintenance, and performance of databases. This role will sometimes require cloud-based database expertise. This course may be useful, as it introduces Amazon DynamoDB, an essential tool in the cloud-based database space. The course shows how to configure and connect to DynamoDB, and how to manage databases in conjunction with AWS Lambda and API Gateway. The course also provides exposure to tools that a database administrator would need to know in a cloud setting. While not the main focus, this course does teach a database administrator some vital cloud skills.

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Technical Project Manager

A technical project manager oversees technology-related projects. They work with development teams and must be able to make informed decisions. This course may be useful, as it introduces key concepts in cloud computing and serverless technologies. This course covers AWS Lambda, Azure Functions, and API Gateway, as well as deployment automation through the Serverless Framework. A project manager may benefit by being exposed to serverless architecture. The course's hands-on approach and experience working with databases using DynamoDB may help a project manager.

See salaries and explore the career path for Technical Project Manager

Mobile Application Developer

Mobile application developers create applications that run on mobile devices and may use cloud backend for functionality. This course may be useful as a source of information on this back end. The course introduces cloud technologies with AWS Lambda and Azure Functions, which mobile applications use. The course also provides instruction on API Gateway, which mobile applications use to integrate with cloud resources. This course may introduce a mobile application developer to valuable cloud tools, including DynamoDB and Cognito. A mobile application developer may use this course to broaden their range of knowledge.

See salaries and explore the career path for Mobile Application Developer

Data Engineer

A data engineer designs and builds systems for collecting, managing, and converting data into usable formats. This role sometimes involves using cloud-based storage and computing resources. This course may be useful, as it provides practical exposure to DynamoDB, a cloud-based database. Although this course doesn’t focus heavily on data engineering, it may provide some helpful overlap with cloud-based database technologies. A data engineer may also benefit from a review of API Gateway, since data pipelines often have API access points. Additionally, the AWS Lambda skills shown in this course may be useful in data pipelines.

See salaries and explore the career path for Data Engineer

Master AWS Lambda

Go Serverless with AWS [2020]

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